IEEE - Institute of Electrical and Electronics Engineers, Inc. - Toward More Accurate Iris Recognition Using Dilated Residual Features

Author(s): Kuo Wang ; Ajay Kumar
Sponsor(s): IEEE Signal Processing Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2019
Volume: 14
Page(s): 3,233 - 3,245
ISSN (Electronic): 1556-6021
ISSN (Paper): 1556-6013
DOI: 10.1109/TIFS.2019.2913234
Regular:

Iris recognition has emerged as the more accurate, convenient, and low-cost biometric approach to authenticate human subjects. However, the accuracy offered by current popular iris recognition... View More

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